The importance of data visualization tools in modern enterprises. Cost-effective solutions and empowering of an open source project.

In the last few years, data visualization tools have become a key component for many companies. Regardless of the specific market field, the capability of transforming huge amounts of data and making them easily comprehensible represents a crucial element to provide benefits to organizations. Today's market offers many solutions, each of which differs from the other in terms of offered functionalities, ease of use, and visualization capabilities. As often occurs, the majority of them are "paid" software, with license prices that can vary widely depending on the type of usage. Despite that, there are alternatives available in the open-source world that provide a wide set of standard and advanced functionalities for data visualization. The aim of this thesis is to identify which could be the best solution in order to develop a data visualization tool that suits the company's needs, performing at the same time evaluations in terms of flexibility, time-to-market, and development and maintenance costs. We will compare a completely custom solution (a web application built with the NextJS framework) with a hybrid solution (leveraging the new release of Apache Superset) and in both cases we will add Cube as semantic layer between the data source and the visualization layer.